{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "岭回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.random.uniform(-3.0,3.0,size=100)\n",
    "X=x.reshape(-1,1)\n",
    "y=0.5*x+3+np.random.normal(0,1,size=100)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0LsZhTfTNhkAEMCxKXyiwz4VpkSBOXZTC1IhSoSNaYeFbsup3vvMdxWIxPfzww36dErAuzCsH4CYXpkWCsFLDK14XXwt7om82vgQi+/fv1zPPPKPp06f7cTrACVH8QoF9l42tLOg409Mirq/UcJXrVW9NMD418/HHH+uee+7RunXr9G//9m+mTwc4w4UhckTL9oOdevTnb414jJ/TIi6v1HCVCyNafjM+IrJ8+XL91V/9lRYsWGD6VIBToviFAnsy04Bdyd6cx9iYFgnCvjEuiUKi71BGR0Q2b96sAwcOaP/+/QUd39vbq97eP32IksmkqaYBxkXxCwV2jDQNeD6vVnTAnKgk+p7P2IjI8ePH9dBDD+nHP/6xqqoK+6JtbW1VPB4f+GloaDDVPMA4P8poIzzK2Rwu3zRgxve/fB1BiOOilOibEUun00Yy5V588UX99V//tUaNGjVwW39/v2KxmCoqKtTb2zvo/6TsIyINDQ1KJBKqqakx0UzAqMxwuZS96BFJe5DKX+K9tf2EHtrcnve4J+6eoTtmXFFOU+GToC/7TyaTisfjBfXfxqZmbr31Vr355puDbrv33nv12c9+VitXrhwWhEhSZWWlKisLy/gGgsB00SMEnxc1I5gGdE+5RQz9SPR1pdCisUCkurpa06ZNG3TbxRdfrHHjxg27HQgzVg4gl2KroOYSxbwCl3k1mmGyJLtLIy7svotAK2de3U+sHEA2XtWMiGJegauCUMTQtTb6WuJ9586dfp4OIedSRA+Uwssl3kwD2ufVCJdJLraRvWYQSFHbiwHh5HVuB9OAdgWhiKGLbSQQQeC4GNEDpTCR2+HqVu9REIQihi62kRyRiAlKTsVIorgXA8KJ3I5wCcLqJRfbyIhIhIQlp8LFiB4oFbkd4RGE1UsutpFAJCLClFPhYkQPlIPcjnDIjHA1bzigmLIXMbQ9wuViG5maiYCwbUfvRen0MExRIVxY4h0OmRGuuvjgC6G6eJUzF3yutZERkQhwMUu6HOVG9GGZogLgpnJGuPyqdurSKByBSASEMaei1Hn1ME1RAXBXKauX/L5IcmWFFYFIBIQ1p6LYiJ5lvwBcFeWLJAKRCLCVJe3HEGMxEX3YpqgAhEPUL5IIRCLARpa0i3kYYZyiAhB8Ub9IYtVMRPiZJe3ahkoZYZ2iAhBsUb9IYkQkQvzIknZ5iNHFQj4AEPWLJEZEIsZ0rQKXy69TThtBRd2bcPOiNlKQMSICT7k+xEg5bQSNi/lW8JaL1U79RCACTwVhiNGLKSq/ig65JIqP2bYoL+mMmihfJBGIwFNBycMop5BPFK9Qo/iYbXM53wpmuFTt1E/kiESYiXnnsOdhuLoiyKQoPuZilPs5ynV/l/OtYE4U9xxiRCSiTF7hhnWIMYpXqFF8zMUo93M00v17/zdVUBvCuqQT0UEgEkF+zDuHcYjRtaJDfuRsuPaYXVLu5yjf/R9ecG1B7Qjrks6R2MxXIlfKewQiEePnFa4rGyp5xaUVQX7lbLj0mE0rpoMp93NUyP037TumupoqvZ90O9/KbzbzlciVMoMcEY8EZZ0/886lc2VFkJ85G648ZtO2H+zUnDU7tGTdXj20uV1L1u3VnDU7cj6X5X6OCrl/V7JXS2ZNkhTOfKtS2MxXIlfKHAIRDxT7JWZTlK5wveZC0aF8V9LSuStxrwJhFx6zaaV0MOV+jgq9/1WXjfFtawbX+f3ed+XcUUAgUqagRclRucI1wYUVQX6PaLnwmE0qtYMp93NUzP0XTqvXnpXzten+m/TE3TO06f6btGfl/EgFIZLd0VxGks0iEClDEKPkKFzhmuTn5oHZ2BjRsv2YTSq1gyn3c1Ts/aO4pHMom6O5jCSbRbJqGYK4oiDqpYS9YHNFkK0RrTCugpJK72DK/RzxOSyezdFcRpLNYkSkDEGNksN8hesXW1eoNke0wnhVXk4HU+7niM9hcWy+9xlJNosRkTIEOUoO6xWuTX7UF+BK2lvlbklQ7ueIz2HhbL73+dyZFUun0+4kMAyRTCYVj8eVSCRUU1NjuznD9KfSmrNmR94vsT0r5/MGDTm/6wu4Vs8gyEWeMgnnUvYOhtEJt1BHJBiK6b8JRMrElxhyVcg0/R5wpfMPw5dzGB5DGBT6nqayqvsIRHzGl1h0ZUbFciUth31UzFYQZgIdjF18j4YLgYgFfn6J8YXpjraO01qybm/e4zbdf5MzK6e8EvUgDN4JU0CLc4rpv0lW9Yhf+6pw1eCWoK6c8kIQl6/DPezwDJbvBkjQqrhGQZBXTpUrykEYvEPVUhCIBEQQq7hGQZTrC0Q5CIN3CGhBIBIQXDX4o9hdlMO+F8tIohyEwTsEtCBHJCC4ajCv1PybTIXMofetC3nuDkWe4IVyi8oh+IyOiKxdu1bTp09XTU2Nampq1NTUpJdeesnkKUOLqwazys2/ieoOqZQpR7miPKqIc4wu3922bZtGjRqla6+9Vul0Ws8//7y+973v6be//a0+97nP5b1/kJbvmkYVV3NYhlo+lpR7L2rPKSsCw8XpOiK1tbX63ve+p/vuuy/vsQQig1HF1Ywo1wKJiqB16lHtlIP2OiE3J+uI9Pf366c//al6enrU1NSU9Zje3l719vYO/J5MJv1qXiBENRfBNPJvwq3cTt3vzjFXca/MNGGYLzj8qscEtxgPRN588001NTXp7NmzGjt2rLZs2aLGxsasx7a2tqqlpcV0kwKN3Tq9R/5NeJXbqfs9MkFxL0SR8amZvr4+HTt2TIlEQj/72c/07LPPateuXVmDkWwjIg0NDUzNICcvrlbJvwmncnN/bJQdZ5oQYeHU1Mzo0aN1zTXXSJJuuOEG7d+/X0888YSeeeaZYcdWVlaqsrLSdJMQEl5drbq4DHWkAMvvqYKgztuXU4Le1sgE04SIIt/riKRSqUGjHkApvJ5Hdyn/ZqQAS5KvUwVBTposp1O3tY8O04SIIqOByKpVq7Ro0SJNmjRJ3d3d2rhxo3bu3KmXX37Z5GkRcqauVl3IvxkpwHrgjyumhjKVxFhssOfayEk5nbqtkQmKeyGKjAYip06d0le/+lV1dnYqHo9r+vTpevnll3XbbbeZPC1CzuTVailZ+151wIXsJ5SNiamCYoM9F0dOyunUbY1MuDhNCJhmNBD50Y9+ZPLPG+Xa1R3+pNCr0F8d+dCz1y/X+8HLDjhfgDUSr6cKign2Ep/0ObnctJxO3ebIhEvThIAf2GsmCxev7vAnhV6FPvnakYF/l/P65Xo/3H5dvX64+6hnHbAXw/xeTRUU+ne6Ep/ouy8fdna5aamduu2RCRemCQG/EIgMEeViQkGR72o1m1Jfv1zvh87EWT2z+2jW+5TaAXsxzO/VVEGhf+dMT5+VpM5ilNqp2x6ZoLgXooJA5DwUEwqGka5Wcynl9Rvp/VDI+YrtgEsJsDK8nioodGqidmxhy+1tLzcttVNnZAIwz+juu0FTzLw47Mq16+tIin39ysnZyCimAy5kF9KR/s/LqYJCd0Stqwn/ctNMEHPHjCvUNHUcQQjgMQKR81BMKFgWTqvXnpXzten+m/TE3TP04LypBd3Pz9e52A44V4BVF6/S00uv19M5/s/ElOFIbcmcLzNykqtrjulcPg3LTQHkwtTMeSgmFDznD7m3dZzWk6915L2PH69zOVMl+aYD/JwqyNcW20mdAIKPQOQ8FBMKNq9fv0JzNkx0wCPlNPidxJjvfLaTOgEEG4HIebi6CzavX79C/t7/+cIU/fy/OiPfAZPUCaBUxnffLUcxu/d5iToiweb165fv77lY/M7FNgGIjmL6bwKRHPgiDzavX78gvR8IpAHYRiACpwWpUw+aXAXYMs8uBfkA+KGY/psckQAKckfO1bo5FOQDEEQEIgET5I6c8vlmmdyVGABMoaBZgGQ68qGdTaYj336w01LL8itki/uWbYfUn3J2ptB5FOQDEEQEIgER9I6c8vnmUZAv3PpTabV1nNbW9hNq6zjt7GcdKBZTMwER9GF3rtbNoyBfeAV5ShbIhxGRgAh6R87VunmFblRHomqwBHlKFigEgUhABL0jZ3M0fxSyUR2CI+hTskAhmJoJiKAPu1M+3z+UWw+PoE/JAoVgRKQMfiaPhWHYnat1/2Q2qrtjxhVqmjrO6fcFcvN7SpaEWNjAiEiJbCSPhWGXU67WgcL5OSVLQixsocR7CWyX0Q5yZVUAhetPpTVnzY68U7J7Vs4v6zvA9ncaRhbE73xKvBvkQhntzLA7gHDzI7fKhe805BaFkSpyRIpEYS5kw9w6TDGdW8V3mruisnSbEZEiBb2eB7wXhSsW2GUyt4rvNDdFaaSKEZEiBb2eB7wVlSsW2GdqJRTfaW6K0kgVgUiRKMyFDIpNIQz4TnNTlEaqCESKFIZ6HvBGlK5YEF58p7kpSiNVBCIloDAXpGhdsSDc+E5zT5RGqkhWLRGFuRClK5YgCmLtBZv4TnNLlLbFIBApQxDqefBlbE7Q9/8JM1YylSYI32lREoZq2oWgsmqI8WVsXmbVjJT9ioVhbf9RJRRhE8QLymL6bwKRkOLL2D8EfO7IlETPlUTsVUn0XOcOWmcBmEKJ94iLUiEcFzC37o5iVjJ5OQVBMAqUjlUzIcSyUv+ZKjaF4thYyURRO6A8BCIhxLJSRJXfK5koageUj0AkhFhWiqjyu/YCo49A+YwGIq2trZo5c6aqq6s1YcIE3XnnnTp8+LDJU0LRKoQDnM/vKqGMPgLlMxqI7Nq1S8uXL9fevXv1y1/+Up9++qm++MUvqqenx+RpI4+SzYgyP6uEMvoIlM/X5bsffPCBJkyYoF27dukLX/hC3uNZvlseMvnDjeWiI/Pj+cksF85X1M7EcmHAZc4u300kEpKk2trsUwK9vb3q7e0d+D2ZTPrSrrBiWWl4EWTm50eV0CiV4QZM8W1EJJVK6fbbb9dHH32kPXv2ZD3m0UcfVUtLy7DbXR4RCfNVaZgfW5BRrM49BIbAYE5WVm1ubtZLL72kPXv26Morr8x6TLYRkYaGBmcDkTB/+Xj12AhmvGWzcihGxnsd+BPnApEHH3xQW7du1e7duzVlypSC7+dyjkiYr0q9emxhDtRsaes4rSXr9uY9btP9N7F5GQBrium/ja6aSafTevDBB7Vlyxbt2LGjqCDEZWEuYuTVY6PapBksFwUQNkYDkeXLl2vDhg3auHGjqqur1dXVpa6uLn3yyScmT2tcmIsYefHYwhyo2cZyUQBhYzQQWbt2rRKJhObOnav6+vqBnxdeeMHkaY0L81WpF48tzIGabRSrAxA2Rpfv+liixFdhvir14rGFOVCzjeWiAMKGvWZKEOarUi8eW5gDNRf4WTkUAEzztaBZWIT5qtSLx5YJZvJVmwxioOYKitUBCAtGREoU5qvSch8be934I1M59I4ZV6hp6jieTwCB5OteM8VyuY5IRpiLGJX72KgjAgDR5FxBs1IFIRDByMIcqAEAsnN20ztX0Dn6x4+NxwAAwRW5QITpAgAA3BGpZFXKjgMA4JbIBCKUHQcAwD2RCUQoOw4/9KfSaus4ra3tJ9TWcZrAFgDyiEyOCGXHYRr5RwBQvMiMiFB2HCaRfwQApYlMIBLm/WFgVzH5R0zdAMBgkZmaCfP+MLCr0PyjJ3cc0eb9x5i6AYDzRGZERAr3/jCwp9C8osdeeYepGwAYIjIjIhnsWgqvlZNXlNa5EbmWbYd0W2Md70MAkRO5QESi7Di8lck/6kqczZonks/5S8d5XwKImkhNzSDcbCWCZvKPJA1Lhi5mfIOl4wCiKJIjIggfL2p4lLMZYib/aGgb6uJVuntmgx575d28f4Ol4wCiiEAEgZep4TF0/COTCFpIIrIXgUyu/CNJ2rz/eM6pm5jOBSwsHQcQRUzNINC82EPIy2JkmfyjO2Zcoaap4zSqIlbQ1A1LxwFEFYEIAq3cPYT82gyRpeMAkB1TMwi0cvcQKiaQKXdFC0vHAWA4AhEEWrl7CPm9GSJLxwFgMAIRBFq+Gh75EkHZDNEt5axcAhBMBCIItHL3ECo3kIF3vFi5BCB4SFb1CbuumlNOIigrWtzg5colAMESS6fTzvaIyWRS8XhciURCNTU1tptTMq70/FHOsD6vkT39qbTmrNmRM2k4Myq1Z+V8AkIgIIrpvwlEhvB6jjpXsa3MX2TppjvIT7CjreO0lqzbm/e4TfffRKIvEBDF9N/kiJzH66vifDUq2HXVLaxoscPvlUsA3EKOyB+ZmKMut9gWEAWsXAKijUBE5qprcqUH5JdZuZRrTDCmcyOTrFwCwolAROZGLrjSA/Jj5RIQbQQiMjdywZUeUBj24gGii2RVmRu5KLfYFhAl7MUDRBOBiMxW18xc6Q1djVNHjYrI8GpZcBSWF7NyCYgeAhGNPHKhP/5+98xJJf99rvSiy6sl4RRcAxBWRnNEdu/ercWLF2vixImKxWJ68cUXTZ6uLLnmqDMee+UdzVmzo+RS05krvTtmXKGmqeMIQiLAqyXhlD8HEGZGA5Genh5dd911euqpp0yexjMLp9Vrz8r5+saCa7P+P1/8KJRXS8JNLS0HAFcYnZpZtGiRFi1aZPIURmzefzzr7WGvhhqFHAS/FLMkfKScCK/+DgC4yqkckd7eXvX29g78nkwmfW9DVL/4yUHwlldLwimKByDsnKoj0traqng8PvDT0NDgexui+MVPDoL3vFoSTlE8AGHnVCCyatUqJRKJgZ/jx7NPkZgUtS9+chDM8KqYHUXxAISdU4FIZWWlampqBv34LWpf/C5vzNefSqut47S2tp9QW8fpQAVDXpUtp/w5gLBzKhBxQdS++F2ditp+sFNz1uzQknV79dDmdi1Zt7es5dM2eFW2nPLnAMLMaLLqxx9/rCNHjgz8fvToUbW3t6u2tlaTJpVeIMy0KFVDdXEqKpOzMnT8I5OzEqTO16tidhTFAxBWsXQ6bWy8e+fOnZo3b96w25ctW6b169fnvX8ymVQ8HlcikbAyTROF5az9qbTmrNmRt7z9npXzfXnsmfbkmi7yuz0AgOIV038bHRGZO3euDMY5xkVh3wvXNuaL6vJpAIgqckTgVA6CqzkrAAAznCpoBntcyUFwMWcFAGAOgQgGuDAVlVk+nS9nJSzLpwEg6piagVOitnwaAKKOQATOcSlnBQBgFlMzcJIrOSsAALMIRHwQhXokJriQswIAMItAxLDtBzuHVWitD2GFVgAASkGOiEGZUuVDC3RlSpUHad8UAABMIBAxpD+VVsu2Q1mXoGZua9l2KO+OskHegRYAgHyYmjHEi1LlTOsAhSEPCwguAhFDyi1VHqYdaAGTCNiBYGNqxpBySpV7Na0DhB15WEDwEYgYkilVnmtwOKZzV23ZSpUXM60DRBUBOxAOBCKGlFOqnB1ogfwI2IFwIBAxqNRS5exAC+RHwA6EA8mqhpVSqpwdaIH8CNiBcGBExAeZUuV3zLhCTVPH5V1WyA60QH7l5GEBcAeBiKPYgRYYGQE7EA6xdDrtbEp5MplUPB5XIpFQTU2N7eZYQaEmYGTUEQHcU0z/TSACIPAI2AG3FNN/k6wKIPAyeVgAgoccEQAAYA2BCAAAsIZABAAAWEMgAgAArCEQAQAA1hCIAAAAa1i+i7JRwwEAUCoCEZSFqpYAgHIwNYOSbT/YqeYNBwYFIZLUlTir5g0HtP1gp6WWAQCCgkAEJelPpdWy7ZCy7Q+Qua1l2yH1p5zdQQAA4AACEZRk39Ezw0ZCzpeW1Jk4q31Hz/jXKABA4BCIoCSnunMHIaUcBwCIJgIRlGRCdZWnxwEAoolABCWZNaVW9fEq5VqkG9O51TOzptT62SwAQMAQiKAkoypiWr24UZKGBSOZ31cvbqSeCABgRL4EIk899ZSuuuoqVVVVafbs2dq3b58fp4VhC6fVa+3S61UXHzz9Uhev0tql11NHBACQl/GCZi+88IJWrFihp59+WrNnz9bjjz+uL33pSzp8+LAmTJhg+vQwbOG0et3WWEdlVQBASWLpdNpooYfZs2dr5syZevLJJyVJqVRKDQ0N+trXvqZHHnlkxPsmk0nF43ElEgnV1NSYbCYAAPBIMf230amZvr4+vfHGG1qwYMGfTlhRoQULFqitrW3Y8b29vUomk4N+AABAeBkNRD788EP19/fr8ssvH3T75Zdfrq6urmHHt7a2Kh6PD/w0NDSYbB4AALDMqVUzq1atUiKRGPg5fvy47SYBAACDjCarXnbZZRo1apTef//9Qbe///77qqurG3Z8ZWWlKisrTTYJAAA4xOiIyOjRo3XDDTfo1VdfHbgtlUrp1VdfVVNTk8lTAwCAADC+fHfFihVatmyZbrzxRs2aNUuPP/64enp6dO+995o+NQAAcJzxQORv//Zv9cEHH+hb3/qWurq6NGPGDG3fvn1YAisAAIge43VEykEdEQAAgseZOiIAAAAjIRABAADWEIgAAABrCEQAAIA1BCIAAMAaAhEAAGANgQgAALCGQAQAAFhDIAIAAKwhEAEAANYQiAAAAGsIRAAAgDUEIgAAwBoCEQAAYA2BCAAAsIZABAAAWEMgAgAArCEQAQAA1lxguwEu60+lte/oGZ3qPqsJ1VWaNaVWoypitpsFAEBoEIjksP1gp1q2HVJn4uzAbfXxKq1e3KiF0+ottgwAgPBgaiaL7Qc71bzhwKAgRJK6EmfVvOGAth/stNQyAADChUBkiP5UWi3bDimd5f8yt7VsO6T+VLYjAABAMQhEhth39MywkZDzpSV1Js5q39Ez/jUKRvWn0mrrOK2t7SfU1nGaIBMAfESOyBCnunMHIaUcB7eRCwQAdjEiMsSE6ipPj4O7yAUCAPsIRIaYNaVW9fEq5VqkG9O5K+ZZU2r9bBY8Ri4QALiBQGSIURUxrV7cKEnDgpHM76sXN1JPJODIBQIANxCIZLFwWr3WLr1edfHB0y918SqtXXo9uQMhQC4QALiBZNUcFk6r122NdVRWDSlygQDADQQiIxhVEVPT1HG2mwEDMrlAXYmzWfNEYjo3AkYuEACYxdQMIolcIABwA4EIIotcIACwj6kZRBq5QABgF4EIIo9cIACwh6kZAABgDYEIAACwhkAEAABYYywQ+fa3v62bb75ZY8aM0SWXXGLqNAAAIMCMBSJ9fX2666671NzcbOoUAAAg4IytmmlpaZEkrV+/3tQpAABAwDm1fLe3t1e9vb0DvyeTSYutAQAApjmVrNra2qp4PD7w09DQYLtJAADAoKICkUceeUSxWGzEn7fffrvkxqxatUqJRGLg5/jx4yX/LQAA4L6ipma++c1v6u/+7u9GPObqq68uuTGVlZWqrKwc+D2dPrcvKlM0AAAER6bfzvTjIykqEBk/frzGjx9fWqtK0N3dLUlM0QAAEEDd3d2Kx+MjHmMsWfXYsWM6c+aMjh07pv7+frW3t0uSrrnmGo0dO7agvzFx4kQdP35c1dXVisW82YQsmUyqoaFBx48fV01NjSd/M8x4vgrHc1Ucnq/i8HwVjueqOCaer3Q6re7ubk2cODHvscYCkW9961t6/vnnB37//Oc/L0l67bXXNHfu3IL+RkVFha688koTzVNNTQ1v0CLwfBWO56o4PF/F4fkqHM9Vcbx+vvKNhGQYWzWzfv16pdPpYT+FBiEAACD8nFq+CwAAoiVygUhlZaVWr149aHUOcuP5KhzPVXF4vorD81U4nqvi2H6+YulC1tYAAAAYELkREQAA4A4CEQAAYA2BCAAAsIZABAAAWBPpQOT222/XpEmTVFVVpfr6en3lK1/RyZMnbTfLSb///e913333acqUKbrooos0depUrV69Wn19fbab5qRvf/vbuvnmmzVmzBhdcskltpvjnKeeekpXXXWVqqqqNHv2bO3bt892k5y1e/duLV68WBMnTlQsFtOLL75ou0nOam1t1cyZM1VdXa0JEybozjvv1OHDh203y0lr167V9OnTB4qYNTU16aWXXrLSlkgHIvPmzdNPfvITHT58WP/xH/+hjo4OffnLX7bdLCe9/fbbSqVSeuaZZ/TWW2/pscce09NPP61//ud/tt00J/X19emuu+5Sc3Oz7aY454UXXtCKFSu0evVqHThwQNddd52+9KUv6dSpU7ab5qSenh5dd911euqpp2w3xXm7du3S8uXLtXfvXv3yl7/Up59+qi9+8Yvq6emx3TTnXHnllfrOd76jN954Q7/5zW80f/583XHHHXrrrbf8b0waA7Zu3ZqOxWLpvr4+200JhO9+97vpKVOm2G6G05577rl0PB633QynzJo1K718+fKB3/v7+9MTJ05Mt7a2WmxVMEhKb9myxXYzAuPUqVNpSeldu3bZbkogXHrppelnn33W9/NGekTkfGfOnNGPf/xj3XzzzbrwwgttNycQEomEamtrbTcDAdLX16c33nhDCxYsGLitoqJCCxYsUFtbm8WWIYwSiYQk8T2VR39/vzZv3qyenh41NTX5fv7IByIrV67UxRdfrHHjxunYsWPaunWr7SYFwpEjR/SDH/xA//AP/2C7KQiQDz/8UP39/br88ssH3X755Zerq6vLUqsQRqlUSg8//LBuueUWTZs2zXZznPTmm29q7Nixqqys1AMPPKAtW7aosbHR93aELhB55JFHFIvFRvx5++23B47/p3/6J/32t7/VL37xC40aNUpf/epXlY5Qsdliny9JOnHihBYuXKi77rpL999/v6WW+6+U5wqAHcuXL9fBgwe1efNm201x1mc+8xm1t7fr9ddfV3Nzs5YtW6ZDhw753o7QlXj/4IMPdPr06RGPufrqqzV69Ohht7/33ntqaGjQr3/9ayvDUzYU+3ydPHlSc+fO1U033aT169eroiJ0sWxOpby31q9fr4cfflgfffSR4dYFQ19fn8aMGaOf/exnuvPOOwduX7ZsmT766CNGJPOIxWLasmXLoOcOwz344IPaunWrdu/erSlTpthuTmAsWLBAU6dO1TPPPOPreS/w9Ww+GD9+vMaPH1/SfVOplCSpt7fXyyY5rZjn68SJE5o3b55uuOEGPffcc5EKQqTy3ls4Z/To0brhhhv06quvDnSmqVRKr776qh588EG7jUPgpdNpfe1rX9OWLVu0c+dOgpAipVIpK/1f6AKRQr3++uvav3+/5syZo0svvVQdHR36l3/5F02dOjUyoyHFOHHihObOnavJkyfr+9//vj744IOB/6urq7PYMjcdO3ZMZ86c0bFjx9Tf36/29nZJ0jXXXKOxY8fabZxlK1as0LJly3TjjTdq1qxZevzxx9XT06N7773XdtOc9PHHH+vIkSMDvx89elTt7e2qra3VpEmTLLbMPcuXL9fGjRu1detWVVdXD+QdxeNxXXTRRZZb55ZVq1Zp0aJFmjRpkrq7u7Vx40bt3LlTL7/8sv+N8X2djiN+97vfpefNm5eura1NV1ZWpq+66qr0Aw88kH7vvfdsN81Jzz33XFpS1h8Mt2zZsqzP1WuvvWa7aU74wQ9+kJ40aVJ69OjR6VmzZqX37t1ru0nOeu2117K+l5YtW2a7ac7J9R313HPP2W6ac/7+7/8+PXny5PTo0aPT48ePT996663pX/ziF1baErocEQAAEBzRmuQHAABOIRABAADWEIgAAABrCEQAAIA1BCIAAMAaAhEAAGANgQgAALCGQAQAAFhDIAIAAKwhEAEAANYQiAAAAGsIRAAAgDX/Hy5Z7JfjE2NMAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.linear_model import LinearRegression\n",
    "def Poly_reg(degree):\n",
    "    return Pipeline([\n",
    "        (\"poly\",PolynomialFeatures(degree)),\n",
    "        (\"std_scaler\",StandardScaler()),\n",
    "        (\"linear\",LinearRegression())\n",
    "        \n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "279.81602576495095"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "Poly_reg0=Poly_reg(degree=60)\n",
    "Poly_reg0.fit(X_train,y_train)\n",
    "y_poly_predict=Poly_reg0.predict(X_test)\n",
    "mean_squared_error(y_test,y_poly_predict)#数很大，过拟合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"封装一个绘图函数\"\"\"\n",
    "def plot_model(model):\n",
    "    x_plot=np.linspace(-3,3,100).reshape(100,1)\n",
    "    y_plot=model.predict(x_plot)\n",
    "    plt.axis([-3,3,0,6])\n",
    "    plt.scatter(x,y)\n",
    "    plt.plot(x_plot[:,0],y_plot,color=\"r\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_model(Poly_reg0)#绘图过拟合情况\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用岭回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import Ridge\n",
    "# ridge=Ridge(alpha=1) 设置α参数\n",
    "\"\"\"管道加入岭回归\"\"\"\n",
    "def Ridge_regression(degree,alpha):\n",
    "    return Pipeline([\n",
    "        (\"poly\",PolynomialFeatures(degree)),\n",
    "        (\"std_scaler\",StandardScaler()),\n",
    "        (\"ridge\",Ridge(alpha))\n",
    "        \n",
    "    ])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.3810435095502798"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"使用岭回归\"\"\"\n",
    "ridge_reg=Ridge_regression(60,0.001)\n",
    "ridge_reg.fit(X_train,y_train)\n",
    "y_ridge_predict=ridge_reg.predict(X_test)\n",
    "\"\"\"泛化能力提高！\"\"\"\n",
    "mean_squared_error(y_test,y_ridge_predict)#对比不用岭回归的MSE  4789.983750304183缓和太多了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘图\n",
    "plot_model(ridge_reg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "调整α，发现越大越平滑，但是要防止过于正则化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.235740408714366"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"α为1\"\"\"\n",
    "ridge_reg_1=Ridge_regression(10,0.00001)\n",
    "ridge_reg_1.fit(X_train,y_train)\n",
    "Y_predict=ridge_reg_1.predict(X_test)\n",
    "mean_squared_error(y_test,Y_predict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_model(ridge_reg_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.3425647600673876"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"α为100\"\"\"\n",
    "ridge_reg_1=Ridge_regression(10,100)\n",
    "ridge_reg_1.fit(X_train,y_train)\n",
    "Y_predict=ridge_reg_1.predict(X_test)\n",
    "mean_squared_error(y_test,Y_predict)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_model(ridge_reg_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.9570911833660207"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"α为1000\"\"\"\n",
    "ridge_reg_1=Ridge_regression(10,1000)\n",
    "ridge_reg_1.fit(X_train,y_train)\n",
    "Y_predict=ridge_reg_1.predict(X_test)\n",
    "mean_squared_error(y_test,Y_predict)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_model(ridge_reg_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"α为1000000太大，所有的θ为0，θ平方求和项占比大以至于θ均为0满足条件，即过于正则化\"\"\"\n",
    "ridge_reg_1=Ridge_regression(10,1000000)\n",
    "ridge_reg_1.fit(X_train,y_train)\n",
    "Y_predict=ridge_reg_1.predict(X_test)\n",
    "plot_model(ridge_reg_1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
